Instructions to use Nahrawy/controlnet-VIDIT-FAID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nahrawy/controlnet-VIDIT-FAID with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Nahrawy/controlnet-VIDIT-FAID") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6091e5f5ee79aa06f3f100f6e0c2ef9e05cf3fec138ea47bd8385242ec4bfb0e
- Size of remote file:
- 1.45 GB
- SHA256:
- 8a9b29e2a820226c050ce39b88be13a260ef7a225b105fc2a8f699ab652ce32b
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